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Recently deep Convolutional Neural Networks have been successfully applied in many computer vision tasks and achieved promising results. So some works have introduced the deep learning into face anti-spoofing. However, most approaches just use the final fully-connected layer to distinguish the real and fake faces. Inspired by the idea of each convolutional kernel can be regarded as a part filter,...
The problem of judging direction of the road is a tough problem in navigation system. This paper presents a image-based approach to address the direction problem in the road using Support Vector Machine(SVM) and Bayesian rules. Established localization or orientation algorithm is infeasible in the direction problem due to its time and space complexity. SVM is employed as an effective model for classification...
Nowdays, IDS (Intrusion Detection System) is a hot topic in the information security. The main function of IDS is distinguishing and predicting normal or abnormal behaviors. This paper is to propose a model used on IDS, it is based on rough set (RS) theory and fuzzy support vector machine (FSVM). Firstly, the model set rough set as a preprocessor of FSVM. Rough set can reduce dimensions of attributes...
In this paper, an object-oriented classification method using structural feature is present. Mean-Shift algorithm is employed for multispectral band images segmentation. Straight lines are detected by Canny detection operator and Hough Transform. A new structural feature based on straight line statistics is introduced, which can be used to distinguish the artificial object and natural object in high-resolution...
Studies on gait recognition are mostly based on the assumption that walking direction is parallel to the camera, and the person's side view is extracted. Walking direction has becoming one of the gait recognition challenge problems. In this paper we explore gait recognition considering any directions of walking which is not definitely parallel to the camera. We propose a novel approach to computing...
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